The concept of “digital twin” is moving beyond manufacturing and industrial sectors configuring virtual models and ICT (Information Comunication Technology) systems for improved real-time data-driven management of physical assets, developing data-centric processes supporting design, construction, and operation phases. The configuration of Digital Twins is gradually becoming useful even in the AEC (Architecture, Engineering, Construction) sector, connecting physical objects such as buldings and their digital equivalent through ICT systems. Infact, thanks to the so-called Key Enabling Technologies (KET) of Industry 4.0 and their progressive evolution (i.e. Cloud, BIM, GIS, Big Data, Internet of Things, High-speed Networking, Advanced Analytics, Robotics and Automation, Artificial Intelligence, Cybersecurity, Augmented and Mixed Reality etc.) the effective exchange of data from virtual to physical assets becomes possible. In particular, the configuration of digital ecosystems for the built environment leads to the creation of three-dimensional information models with BIM (Building Information Modeling) approaches aiming at real-time management and monitoring of the interactions between digitized objects and their physical equivalent, creating new scenarios for efficient digital processes.

Cognitive Digital Twin for Building Management Systems: a case study in Rome / Agostinelli, Sofia. - (2021), pp. 293-304.

Cognitive Digital Twin for Building Management Systems: a case study in Rome

Sofia Agostinelli
Methodology
2021

Abstract

The concept of “digital twin” is moving beyond manufacturing and industrial sectors configuring virtual models and ICT (Information Comunication Technology) systems for improved real-time data-driven management of physical assets, developing data-centric processes supporting design, construction, and operation phases. The configuration of Digital Twins is gradually becoming useful even in the AEC (Architecture, Engineering, Construction) sector, connecting physical objects such as buldings and their digital equivalent through ICT systems. Infact, thanks to the so-called Key Enabling Technologies (KET) of Industry 4.0 and their progressive evolution (i.e. Cloud, BIM, GIS, Big Data, Internet of Things, High-speed Networking, Advanced Analytics, Robotics and Automation, Artificial Intelligence, Cybersecurity, Augmented and Mixed Reality etc.) the effective exchange of data from virtual to physical assets becomes possible. In particular, the configuration of digital ecosystems for the built environment leads to the creation of three-dimensional information models with BIM (Building Information Modeling) approaches aiming at real-time management and monitoring of the interactions between digitized objects and their physical equivalent, creating new scenarios for efficient digital processes.
2021
Towards revolving cities. Urban fragilities and prospects in the 21th Century.
978-88-3338-137-4
digital twin; artificial intelligence; cognitive building; bim; building management systems; predictive maintenance
02 Pubblicazione su volume::02a Capitolo o Articolo
Cognitive Digital Twin for Building Management Systems: a case study in Rome / Agostinelli, Sofia. - (2021), pp. 293-304.
File allegati a questo prodotto
File Dimensione Formato  
Agostinelli_Cognitive_2021.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 1.41 MB
Formato Adobe PDF
1.41 MB Adobe PDF
Agostinelli_indice_Cognitive_2021.pdf.pdf

accesso aperto

Tipologia: Altro materiale allegato
Licenza: Creative commons
Dimensione 418.64 kB
Formato Adobe PDF
418.64 kB Adobe PDF
Agostinelli_copertina_Cognitive_2021.pdf.pdf

accesso aperto

Tipologia: Altro materiale allegato
Licenza: Creative commons
Dimensione 375.81 kB
Formato Adobe PDF
375.81 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1543064
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact